---
title: Audio Input Output
---

This example demonstrates how to create an agent that can process audio input and generate audio output using OpenAI's GPT-4o audio preview model. The agent analyzes an audio recording and responds with both text and audio.

## Code

```python audio_input_output.py
import requests
from agno.agent import Agent
from agno.media import Audio
from agno.models.openai import OpenAIChat
from agno.utils.audio import write_audio_to_file
from rich.pretty import pprint

# Fetch the audio file and convert it to a base64 encoded string
url = "https://openaiassets.blob.core.windows.net/$web/API/docs/audio/alloy.wav"
response = requests.get(url)
response.raise_for_status()
wav_data = response.content

agent = Agent(
    model=OpenAIChat(
        id="gpt-5-mini-audio-preview",
        modalities=["text", "audio"],
        audio={"voice": "sage", "format": "wav"},
    ),
    markdown=True,
)

run_response = agent.run(
    "What's in these recording?",
    audio=[Audio(content=wav_data, format="wav")],
)

if run_response.response_audio is not None:
    pprint(run_response.content)
    write_audio_to_file(
        audio=run_response.response_audio.content, filename="tmp/result.wav"
    )
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install libraries">

    ```bash
    pip install -U openai agno requests
    ```
  </Step>

  <Step title="Export your OpenAI API key">

    <CodeGroup>

    ```bash Mac/Linux
      export OPENAI_API_KEY="your_openai_api_key_here"
    ```

    ```bash Windows
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
    ```
    </CodeGroup> 
  </Step>

  <Step title="Create a Python file">
    Create a Python file and add the above code.
    ```bash
    touch audio_input_output.py
    ```
  </Step>

  <Step title="Run Agent">

    <CodeGroup>

    ```bash Mac
    python audio_input_output.py
    ```

    ```bash Windows
    python audio_input_output.py
    ```

    </CodeGroup>

  </Step>

  <Step title="Find All Cookbooks">
  Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:

  <Link href="https://github.com/agno-agi/agno/tree/main/cookbook/agents/multimodal" target="_blank">
    Agno Cookbooks on GitHub
  </Link>
</Step>
</Steps>